首页|风电NACA63418翼型参数化建模及优化

风电NACA63418翼型参数化建模及优化

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风力发电机的风轮气动效率与优良翼型的气动性能密切相关.以风力机传统翼型为研究对象,结合翼型参数化建模及自适应遗传算法,寻优搜索得到高性能优化翼型.比较了CST法和改进的Hicks-Henne型函数法对于NACA63418传统翼型的拟合精度,进而选用Hicks-Henne型函数法对NACA63418翼型进行参数化建模.通过自适应遗传算法和XFOIL软件耦合实现翼型气动特性的自动计算,提高翼形的设计效率,为翼型的理论设计拓宽了思路.
Parametric modeling and optimization of NACA63418 airfoil
In wind turbines,the aerodynamic efficiency of wind turbines is closely related to the aerodynamic performance of excellent airfoils.Taking the conventional airfoil of wind turbine as the research object,combined with airfoil parametric modeling and self-adaptive genetic algorithm,the high performance optimized airfoil is obtained.The fitting accuracy of the conventional NACA63418 airfoil is compared between the CST method and the improved Hicks-Henne type function method,and then the Hicks-Henne type function method is selected to model the NACA63418 airfoil.The automatic calculation of aerodynamic characteristics of airfoil is realized by the coupling of self-adaptive genetic algorithm and XFOIL software,and the design efficiency of airfoil is improved.It broadens the train of thought and improves the design efficiency for the theoretical design of airfoils.

airfoil profileaerodynamic performanceparametric modellingself-adaptive genetic algorithm

张照煌、王丙申、贾晓娜

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华北电力大学能源动力与工程学院,北京 102206

翼型 气动性能 参数化建模 自适应遗传算法

中央高校基本科研业务费专项

2019QN021

2024

热力发电
西安热工研究院有限公司,中国电机工程学会

热力发电

CSTPCD北大核心
影响因子:0.765
ISSN:1002-3364
年,卷(期):2024.53(2)
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